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A Dynamic Planning Framework for QoS-Based Mobile Service Composition Under Cloud-Edge Hybrid Environments

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Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2019)

Abstract

In cloud-edge hybrid environments, when QoS constraints of the SOA-based mobile service composition change, a dynamic reconfiguration needs to be performed. Different from the traditional cloud service, the cloud-edge hybrid environment has the characteristics of limited resource storage, limited energy at the edge and uncertain users who move frequently. Dynamic reconfiguration in this mode is challenging. QoS is an important indicator of service evaluation. Most studies focus on only the static QoS attributes of the service. However, the QoS of a service is not statically constant; it changes dynamically over time. Therefore, to avoid the immediate failure of the service and ensure the stability of the mobile service composition after dynamic reconfiguration, an LSTM neural network is applied to predict the future QoS value for candidate service. This value is used as a service evaluation indicator during dynamic reconfiguration. Then, attributes such as energy consumption, traffic and moving track are considered. A cost-reward mechanism is constructed to calculate the cost and reward of the service when it is invoked. The reasonable restriction conditions are added for controlling dynamic reconfiguration. Finally, the dynamic reconfiguration problem-solving process and framework for mobile service composition based on QoS in a cloud-edge hybrid environment is introduced, guiding the mobile service composition dynamic reconfiguration task in cloud-edge hybrid environments.

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Acknowledgment

This work is supported by the National Key Research and Development Plan of China under Grant No. 2017YFD0400101, the Natural Science Foundation of Shanghai under Grant No. 16ZR1411200, and CERNET Innovation Project under Grant No. NGII20170513.

Author information

Authors and Affiliations

  1. School of Computer Engineering and Science, Shanghai University, Shanghai, China

    Honghao Gao & Wanqiu Huang

  2. Computing Center, Shanghai University, Shanghai, China

    Honghao Gao & Qiming Zou

  3. Shanghai Shang Da Hai Run Information System Co., Ltd., Shanghai, China

    Qiming Zou

  4. School of Computer and Information Engineering, Shanghai Polytechnic University, Shanghai, China

    Xiaoxian Yang

  5. Shanghai Key Laboratory of Computer Software Evaluating and Testing, Shanghai, China

    Honghao Gao

Authors
  1. Honghao Gao
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  2. Wanqiu Huang
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  3. Qiming Zou
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  4. Xiaoxian Yang
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Corresponding author

Correspondence to Xiaoxian Yang .

Editor information

Editors and Affiliations

  1. Xi’an Jiaotong-Liverpool University, Suzhou, China

    Xinheng Wang

  2. Shanghai University, Shanghai, China

    Honghao Gao

  3. London South Bank University, London, UK

    Muddesar Iqbal

  4. University of Exeter, Exeter, UK

    Geyong Min

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Gao, H., Huang, W., Zou, Q., Yang, X. (2019). A Dynamic Planning Framework for QoS-Based Mobile Service Composition Under Cloud-Edge Hybrid Environments. In: Wang, X., Gao, H., Iqbal, M., Min, G. (eds) Collaborative Computing: Networking, Applications and Worksharing. CollaborateCom 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 292. Springer, Cham. https://doi.org/10.1007/978-3-030-30146-0_5

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  • DOI: https://doi.org/10.1007/978-3-030-30146-0_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30145-3

  • Online ISBN: 978-3-030-30146-0

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